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• Fairness: Fairness in data science refers to the absence of bias or discrimination in the data, algorithms, and models used in decision-making processes. It is important to ensure that the data used to train models is representative of the population ... Read More >>
• Wear-leveling Algorithms: Wear-leveling algorithms are used in flash memory devices to distribute data evenly across all available memory blocks, in order to prevent certain blocks from wearing out faster than others. This is achieved by dynamically mapping logical ... Read More >>
• Differentiated Services: Differentiated Services (DiffServ) is a computer networking architecture that specifies a scalable mechanism for classifying and managing network traffic. It provides a way to prioritize traffic flows according to their relative importance ... Read More >>